Objectives

Naming Settlement extents

  • This section summaries unnamed settlement extents based on building counts. It does not includes named settlement extent prior to filed work

Naming Settlement extents by LGA

  • This section summaries unnamed settlement extent by LGA and building counts.It does not includes named settlement extent prior to filed work
lga <=2 2-5 5-10 10-25 25-50 50>=
Brass 60 53 32 33 16 20
Ekeremor 228 102 55 42 11 26
Kolokuma Opokuma 52 53 27 17 4 3
Nembe 40 19 19 25 15 13
Ogbia 91 41 8 20 8 10
Sagbama 113 69 44 27 11 18
Southern Ijaw 175 108 67 75 21 28
Yenegoa 130 53 26 13 7 16

Settlements

Field collected setlement locations:

  • The map below shows field collected settlement locations. Settlement locations are color coded based on ward attribute. Click on boundaries to see ward and lga names. Click on points to see settlement names.



Summary


Number of settlement visited

  • The figures below summaries the number of settlement visited to the date that the data was processed.


Number of settlement visited by LGA

  • The figure below summaries the number of settlement visited to the date that the data was processed at LGA level
LGA collected_from_list collected_from_list_prc not_collected_from_list not_collected_from_list_prc collected_other
Brass 0 0.00 325 0.00 0
Ekeremor 6 1.48 399 98.52 0
Kolokuma Opokuma 16 10.88 131 89.12 2
Nembe 40 12.05 292 87.95 0
Ogbia 34 10.69 284 89.31 2
Sagbama 17 3.57 459 96.43 0
Southern Ijaw 9 1.23 721 98.77 0
Yenegoa 29 8.92 296 91.08 1


Total count of submissions by date

  • The figure below summaries the number of settlement points collected by date


Total count of submissions at LGA level by date

  • The figure below summaries the number of settlement points collected by date at LGA level
lga 2025-08-22 2025-08-23
Ekeremor NA 6
Kolokuma Opokuma 18
Nembe 8 36
Ogbia NA 37
Sagbama 18
Southern Ijaw 9
Yenegoa 13 22


Total count of submissions at cluster level by date

  • The below figure summaries settlement point collected by cluster code
sett_lgc 2025-08-22 2025-08-23
lgc1 11 69
lgc2 5 59
lgc3 17
lgc4 0 1



Total count of submissions count by settlement by urban/rural classification

  • The below figure summaries settlement count by urban rural classification


Total count of submissions count by settlement type

  • The below figure summaries settlement count by settlement type


Total count of submissions count by settlement transportation

  • The below figure summaries settlement count by settlement type


***

Quality Check

Naming/spelling sanity check summary

  • The figure below summaries naming or spelling check of settlement names

  • There are 0 settlement points that have no name

  • There are 114 settlement points that have a comment

  • There are 41 settlement points that have an alternative name

  • There are 0 settlement points that have a name shorter than 2 character

  • There are 12 settlement points that have special characters in their name

  • There are 0 settlement points that have a name consist of only numeric characters

FLAGS

  • flag1 :Distance between start and end the data collection
  • flag2 : Time difference between start and end the data collection
  • flag3 : Duplicated records
  • flag4 : Points that are out of settlement extents
  • flag5 : Points outside of GRID3 ward boundary
  • flag6 : Spatially overlapped points
  • flag7 : Spatially clustered points in 50 meters
  • flag8 : Spatially clustered points in 100 meters

Summary of flags by LGA

lga flag1 flag2 flag3 flag4 flag5 flag6 flag7 flag8 attribute_flags_total
Ekeremor 0 2 0 0 1 0 6 6 13
Kolokuma Opokuma 0 2 2 0 0 0 14 14 30
Nembe 0 1 0 0 0 0 41 21 62
Ogbia 0 27 0 0 0 0 35 27 62
Sagbama 0 1 0 0 0 0 18 16 34
Southern Ijaw 0 0 0 1 1 0 9 9 20
Yenegoa 0 21 0 0 0 2 33 33 68


Flag-1 : Distance between back-end and taken GPS coordinates

  • The figure below summaries distance between back-end GPS coordinates and GPS coordinate taken by mapper

Flag-2 : Time difference between back-end start and end time spam

  • The figure below summaries time difference between staring and finishing filling the form


Flag-3 : The same settlement name given to multiple locations

  • The figure below summaries duplicates settlement names


Map of duplicated settlement points
  • The lines connects points with the same settlement names in the same ward


Flag-4 : Settlement points outside of settlement extent

  • The figure below summarizes the settlements by settlement extent type in which the settlements are located. Out of a settlement indicates the settlements do not fall/near in a settlement extent by more than 150m.

Map of settlement points that fall outside of a settlement extent
## [1] "All settlement points fall on/near settlement extent"


Flag-5 :Settlement points outside of respective GRID3 ward boundary**

  • The figure below summarizes whether settlement points fall into their respective ward boundaries.The ward names from the settlement points are compared to the ward names from which the points fall in. Grid3 ward boundary is used.


Maps of settlement points that fall outside of respective ward boundary


Flag-6 :Spatially overlap settlement points

  • The figure below summarizes settlement points that are spatially duplicated. These settlements have identical geospatial locations.


Map of settlement points that spatially overlapped


Flag-7 : Settlement points clustered in 50m and 100m distance

  • The figure below summaries if settlement locations have distance less than 50m or 100m to each other.


Map of settlement points that have less than 100 meters between each other



Quality check summary


Health Facilities

Field collected health facility locations:

  • The map below shows field collected health facility locations. health facility are color coded based on ward attribute. Click on boundaries to see ward and lga names. Click on points to see health facility name.



Summary


Number of health facility visited

  • The figures below summaries the number of health facility visited to the date that the data was processed.


Number of health facility visited by LGA

  • The figure below summaries the number of health facility visited to the date that the data was processed at LGA level
LGA collected_from_list collected_from_list_prc not_collected_from_list not_collected_from_list_prc collected_other
Brass 0 0.00 33 0.00 0
Ekeremor 1 4.76 20 95.24 2
Kolokuma Opokuma 11.11 8 88.89 2
Nembe 2 6.67 28 93.33 2
Ogbia 3 20.00 12 80.00 4
Sagbama 2 8.70 21 91.30 4
Southern Ijaw 0 0.00 44 0.00 1
Yenegoa 13 22.03 46 77.97 6


Total count of submissions by date

  • The figure below summaries the number of health facility points collected by date


Total count of submissions at LGA level by date

  • The figure below summaries the number of health facility points collected by date at LGA level
lga 2025-08-22 2025-08-23
Ekeremor 0 3
Kolokuma Opokuma 3
Nembe 1 3
Ogbia 0 7
Sagbama 6
Southern Ijaw 1
Yenegoa 6 13


Total count of submissions at cluster level by date

  • The below figure summaries health facility points collected by cluster code
hf_lgc 2025-08-22 2025-08-23
lgc1 1 15
lgc2 NA 6
lgc3 5
lgc4 3 10
lgc5 NA


Total count of submissions count by health facility category classification

  • The below figure summaries health facility count by Ownership classification



Total count of submissions count by health facility functional status

  • The below figure summaries health facility count by functional status


Total count of submissions count by health facility type

  • The below figure summaries health facility count by health facility type


Quality Check

Naming/spelling sanity check summary

  • The figure below summaries naming or spelling check of health facility names

  • There are 0 health facility points that have no name

  • There are 30 health facility points that have a comment

  • There are 0 health facility points that have a name shorter than 2 character

  • There are 4 health facility points that have special characters in their name

  • There are 0 health facility points that have a name consist of only numeric characters

FLAGS

  • flag1 :Distance between start and end the data collection
  • flag2 : Time difference between start and end the data collection
  • flag3 : Duplicated records
  • flag4 : Points that are out of settlement extents
  • flag5 : Points outside of GRID3 ward boundary
  • flag6 : Spatially overlapped points
  • flag7 : Spatially clustered points in 50 meters
  • flag8 : Spatially clustered points in 100 meters

Summary of flags by LGA

lga flag1 flag2 flag3 flag4 flag5 flag6 flag7 attribute_flags_total
Ekeremor 0 1 0 0 0 0 3 3
Kolokuma Opokuma 0 3 0 0 0 0 3 3
Nembe 0 0 0 0 0 0 4 4
Ogbia 0 6 0 0 0 0 7 7
Sagbama 0 0 0 0 0 0 6 6
Southern Ijaw 0 0 0 0 0 0 1 1
Yenegoa 0 5 0 0 0 0 17 17


Flag-1 : Distance between back-end and taken GPS coordinates

  • The figure below summaries distance between back-end GPS coordinates and GPS coordinate taken by mapper

Flag-2 : Time difference between back-end start and end time spam

  • The figure below summaries time difference between staring and finishing filling the form


Flag-3 : The same health facility name given to multiple locations

  • The figure below summaries duplicates health facility names
## [1] "There is not duplicated health facility names"


Map of duplicated health facility points
  • The lines connects points with the same health facility names in the same ward


Flag-4 : Health facility points outside of settlement extent

  • The figure below summarizes the health facilities by settlement extent type in which the health facility are located. Out of a settlement indicates the health facility do not fall/near in a settlement extent by more than 150m.

Map of health facility points that fall outside of a settlement extent
## [1] "All health facility points fall on/near settlement extent"


Flag-5 :Health faclity points outside of respective GRID3 ward boundary**

  • The figure below summarizes whether health facility points fall into their respective ward boundaries.The ward names from the health facility points are compared to the ward names from which the points fall in. Grid3 ward boundary is used.
## [1] "All health facility points fall into respective GRID3 ward boundary"


Maps of health facility points that fall outside of respective ward boundary
## [1] "All health facility points fall into respective GRID3 ward boundary"


Flag-6 :Spatially overlap health facility points

  • The figure below summarizes health facility points that are spatially duplicated. These settlements have identical geospatial locations.
## [1] "There is no overlap settlement points"


Map of health facility points that spatially overlapped
## [1] "There is no overlap health facility points"


Flag-7 : Health facility points clustered in 50m and 100m distance

  • The figure below summaries if health facility locations have distance less than 50m or 100m to each other.


Map of health facility points that have less than 100 meters between each other



Quality check summary



Point of Interests(PoI)

Field collected PoI locations:

  • The map below shows field collected PoI locations. PoI locations are color coded based on ward attribute. Click on boundaries to see ward and lga names. Click on points to see PoI names.



Summary


Total count of submissions by date

  • The figure below summaries the number of PoI points collected by date


Total count of submissions at LGA level by date

  • The figure below summaries the number of PoI points collected by date at LGA level
lga 2025-08-22 2025-08-23
Ekeremor 0 4
Kolokuma Opokuma 17
Nembe 6 15
Ogbia 0 28
Sagbama 18
Southern Ijaw 1
Yenegoa 14 22


Total count of submissions at cluster level by date

  • The below figure summaries PoI points collected by cluster code
poi_lcd 2025-08-22 2025-08-23
lgc1 10 48
lgc2 6 42
lgc3 4 14
lgc4 NA 1


Total count of submissions count by PoI type

  • The below figure summaries PoI count by PoI type